| Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering Y Su, X Xu, K Jia Advances in Neural Information Processing Systems 2022, 2022 | 52 | 2022 |
| Weakly supervised 3D point cloud segmentation via multi-prototype learning Y Su, X Xu, K Jia IEEE Transactions on Circuits and Systems for Video Technology, 2023 | 31 | 2023 |
| Towards real-world test-time adaptation: Tri-net self-training with balanced normalization Y Su, X Xu, K Jia Proceedings of the AAAI Conference on Artificial Intelligence 38 (13), 15126 …, 2024 | 21 | 2024 |
| On the Robustness of Open-World Test-Time Training: Self-Training with Dynamic Prototype Expansion Y Li, X Xu, Y Su, K Jia IEEE/CVF International Conference on Computer Vision 2023, 2023 | 19 | 2023 |
| Improving the Generalization of Segmentation Foundation Model under Distribution Shift via Weakly Supervised Adaptation H Zhang, Y Su, X Xu, K Jia IEEE/CVF Conference on Computer Vision and Pattern Recognition 2024, 2024 | 18 | 2024 |
| Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering Regularized Self-Training Y Su, X Xu, T Li, K Jia IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024 | 16 | 2024 |
| PointSAM: Pointly-Supervised Segment Anything Model for Remote Sensing Images N Liu, X Xu, Y Su, H Zhang, HC Li IEEE Transactions on Geoscience and Remote Sensing, 2025 | 6 | 2025 |
| STFAR: Improving Object Detection Robustness at Test-Time by Self-Training with Feature Alignment Regularization Y Chen, X Xu, Y Su, K Jia arXiv preprint arXiv:2303.17937, 2023 | 5 | 2023 |
| CLIP-guided Source-free Object Detection in Aerial Images N Liu, X Xu, Y Su, C Liu, P Gong, HC Li The International Geoscience and Remote Sensing Symposium (IGARSS) 2024, 2024 | 2 | 2024 |
| Augmented Contrastive Clustering with Uncertainty-Aware Prototyping for Time Series Test Time Adaptation P Gong, M Ragab, M Wu, Z Chen, Y Su, X Li, D Zhang arXiv preprint arXiv:2501.01472, 2025 | | 2025 |
| Efficient and Context-Aware Label Propagation for Zero-/Few-Shot Training-Free Adaptation of Vision-Language Model Y Li, Y Su, A Goodge, K Jia, X Xu International Conference on Learning Representations 2025, 2025 | | 2025 |
| On the Adversarial Risk of Test Time Adaptation: An Investigation into Realistic Test-Time Data Poisoning Y Su, Y Li, N Liu, K Jia, X Yang, CS Foo, X Xu International Conference on Learning Representations 2025, 2025 | | 2025 |
| Exploring Human-in-the-Loop Test-Time Adaptation by Synergizing Active Learning and Model Selection Y Li, Y Su, X Yang, K Jia, X Xu arXiv preprint arXiv:2405.18911, 2024 | | 2024 |
| Towards Inference Stage Robust 3D Point Cloud Recognition Y Su, X Xu, K Jia Deep Learning For 3d Vision: Algorithms And Applications, 257-280, 2024 | | 2024 |
| Test-Time Training for Out-of-Distribution Industrial Anomaly Detection via Robust Distribution Alignment J Liao, X Xu, Y Su, Y Liu, D Tao, X Yang | | |
Xun XuSenior Scientist at I2R, A-STAR確認したメール アドレス: i2r.a-star.edu.sg